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32 search results found

Simulator ⭐ 2,029

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Deeptraffic ⭐ 1,684

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Vehicle Detection ⭐ 1,068

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Vehicle_counting_tensorflow ⭐ 643

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Cam2bev ⭐ 627

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Ultimatealpr Sdk ⭐ 550

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

Vehicle Counting ⭐ 65

Vehicle counting using Pytorch

Detecting Road Features ⭐ 63

Detecting Road Features: identifying lane and vehicles boundaries in a video.

Carrecognition ⭐ 59

This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.

Deeptl Lane Change Classification ⭐ 56

Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859

Unity_ml_agent ⭐ 45

This repository is for Reinforcement Learning algorithms with Unity ML Agent

Av Ltfs Data Science Finhack Ml Hackathon ⭐ 43

L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya

Trafficvision ⭐ 42

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

License Plate Detection ⭐ 41

{Python}: Detect and extract the license plate of vehicles using Machine Learning and Image Processing Techniques

Velocity ⭐ 32

Structure From Motion (SFM) for vehicle speed

UAV related Remote Sensing Toolbox

Parking Lot Counter Cpp ⭐ 21

Receive or post information on available parking spaces by tracking how many vehicles enter and exit a parking lot.

Real Time Vehicle Dection Python ⭐ 21

A python project that does real-time vehicle detection using a trained car-cascade Model

Autobench ⭐ 20

Autonomous vehicle training environment with configurable difficulty based on ML-Agents v0.6

Vehicle Detection ⭐ 20

Vehicle Detection + Advanced Lane Finding for ADAS

Persian_licenceplate_generator ⭐ 17

Atomated_LP is a simple tool helps you generate persian vehicle number pates in order to train your CNN.

Cardrivingresnet ⭐ 17

Browser game where a vehicle is driven through the camera using the ResNet model (Residual Network) to estimate the position of the hands.

Semantic Segmentation ⭐ 16

Realtime Semantic Segmentation (ICNet) for Self-Driving Vehicles

Vechicle Detection Tracking ⭐ 13

Vehicle detection and tracking using linear SVM classifier

Vehicle_detection_hog ⭐ 11

vehicle detection by HOG and color features

Udacity Self Driving Car ⭐ 11

Self-Driving Engineer Car Nanodegree

Svm Vehicle Detector ⭐ 10

HOG-based linear SVM for detecting vehicles (or any other object) in videos

Datavisualization ⭐ 10

A Data Visualization project on the French traffic accidents database

Ltfs Data Science Finhack Anlytics Vidhya ⭐ 9

34th (Top 3%) Rank Solution for LTFS Data Science FinHack ( ML Hackathon).

Autonomous Vehicles Mlagents Unity ⭐ 8

Training a car to drive within the lanes in a Unity driving environment

Accident Monitoring ⭐ 8

Automatic detection and reporting of road accidents using a machine learning and vision algorithm. Built as a Smart City project at HackIIITD.

Av Ltfs Data Science Finhack Ml Hackathon ⭐ 6

L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya

Loan Default Prediction ⭐ 5

L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter in the first EMI payment using different algorithms from machine learning

Kalman_filter_for_localization_using_python ⭐ 5

Kalman filters are really good at taking noisy sensor data and smoothing out the data to make more accurate predictions. For autonomous vehicles, Kalman filters can be used in object tracking. A Kalman filter does this by weighing the uncertainty in your belief about the location versus the uncertainty in the lidar or radar measurement. If your belief is very uncertain, the Kalman filter gives more weight to the sensor. If the sensor measurement has more uncertainty, your belief about the locati

Traffic Management ⭐ 5

Project under Meghalaya Police Hackathon-2020

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